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Image-based high-throughput phenotyping enables genetic analyses of pod morphological traits in mungbean (Vigna radiata (L.) R. Wilczek).

G3 (Bethesda, Md.) - 3 Jun 2026

Boddepalli Venkata Naresh, Jubery Talukder Zaki, Cannon Steven B, Dutta Somak, Ganapathysubramanian Baskar, Singh Arti

Abstract excerpt

Mungbean (Vigna radiata (L.) R. Wilczek) is a vital source of digestible proteins and is well-suited for the plant-based protein industry. In this study, we analyzed pod morphological traits in the Iowa Mungbean Diversity (IMD) panel of 372 genotypes (2022-2023) using image-analysis-based phenotyping on 2,418 pod images. Pod morphological traits were extracted using deep learning image analysis, achieving...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42048549
DOI: 10.1093/g3journal/jkag106
PMCID: PMC13233092

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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